Big Data Engineer handling both internal and external stakeholders for data processing related to fraud and compliance at ING. Managing and transforming high volume data and working closely with project teams.
About the role
- Senior Data Engineer Lead at Leidos, enhancing enterprise data solutions for DoD organizations. Collaborating with teams to deliver scalable data analytics and AI capabilities.
Responsibilities
- Design, build, and maintain data pipelines and architectures to support data ingestion, transformation, integration, storage, and dissemination
- Apply software engineering and ETL principles to ensure data accuracy, quality, consistency, and scalability
- Integrate COTS and customer-developed tools within existing data frameworks to meet operational and analytical requirements
- Collaborate with DataOps teams to prepare, automate, and optimize data workflows for real-time analytics
- Implement and enforce data security policies, including data encryption and access controls
- Monitor data quality and implement proactive alerting on data pipelines
- Develop and maintain documentation for data pipelines, models, and governance policies
- Provide Tier-2 and Tier-3 support for enterprise data products and services
- Conduct root cause analysis for recurring issues and implement solutions to prevent future occurrences
- Develop and maintain training materials and a centralized knowledge repository for data operations
- Proactively communicate with customers regarding known issues and new features
- Collect customer feedback to identify areas for improvement and enhance customer satisfaction
- Manage a team of 8-15 direct reports, providing guidance and support for their professional development
- Foster a collaborative team environment that encourages innovation and continuous improvement
- Ensure compliance with all applicable regulations related to data privacy and security
Requirements
- Active Top Secret (TS) clearance with SCI eligibility
- Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or related technical discipline and 8–12 years of relevant experience OR Master’s degree in a related field and 6–10 years of relevant experience
- Minimum of 8 years of experience in data engineering or related roles
- Proven experience in designing and implementing data pipelines and architectures
- Experience with data quality monitoring tools and processes
- Excellent communication and interpersonal skills
- Experience developing and maintaining enterprise-scale data pipelines in cloud environments (AWS, Azure, or GCP)
- Experience implementing ETL/ELT processes and data orchestration frameworks
- Strong knowledge of ETL processes and data integration techniques
- Experience working with structured and unstructured data sources, including APIs, streaming platforms, and relational/non-relational databases
- Experience integrating data pipelines into DevSecOps CI/CD environments
- Demonstrated experience leading and mentoring technical teams
Benefits
- Health and Wellness programs
- Income Protection
- Paid Leave
- Retirement
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Big Data Engineer role developing state - of - the - art solutions for financial crime prevention at ING. Collaborating with teams to manage high volume data and deliver effective technical solutions.
Senior Data Engineer focusing on Databricks in a market - leading company. Designing data architectures and optimizing data workflows in a collaborative environment.
Senior Data Architect Lead at Leidos developing enterprise data and analytics solutions for the Department of War. Collaborating with teams to implement data strategies and governance frameworks.
Data Engineer building advanced technology solutions for clients. Organizing and making disparate data meaningful to impact missions in fraud detection, cancer research, and national intelligence.
Staff Data Engineer on Real World Evidence team driving large - scale data initiatives. Collaborating with cross - functional teams to optimize data pipelines and improve healthcare outcomes.
Data Engineer Trainee developing expertise in Python, SQL, and modern cloud technologies. Innovating in a dynamic team environment with a focus on practical application.
AWS Data Engineer designing and maintaining scalable cloud - based data platforms within Banking and Financial Services at EXL. Collaborating across teams to enable data - driven decision - making through cloud technologies.
Senior Data Engineer designing and scaling advanced data platforms for 5G and future 6G innovations at Nokia. Building robust data pipelines while collaborating with Data Scientists and Engineers in a hybrid setting.
Senior Data Engineering Consultant at Gradion transforming data infrastructure for global clients. Modernizing legacy systems and operationalizing AI/ML solutions with cloud and AI consultants.